Verve via Greenhouse
Design, prototype, productionize, evaluate, and monitor machine learning models and systems for advertising technology. The engineer partners with platform engineering on MLOps, contributes to emerging-technology experiments, manages frequent releases, and maintains quality through code reviews and automated tests.
Hands-on experience implementing production machine learning systems at scale; Python ML libraries such as TensorFlow, PyTorch, or scikit-learn; familiarity with MLflow and Ray Serve; data pipelines, SQL, and large structured or unstructured datasets; familiarity with AWS and Google Cloud big-data products; collaborative problem-solving skills.
100% remote work; opportunity to join a small team within a global company, collaborate across product, business development, platform engineering, and QA, and work on emerging technologies with room for growth.